Vectors Library
mikroBasic PRO for PIC32 includes a library for working and using vectors. Routines with 16 as their suffix work with 16-bit data (fractional Q15 format) and routines with 32 as their suffix work with 32-bit data (fractional Q31 format).
Library Routines
- Vector_Set16
- Vector_Set32
- Vector_Sub16
- Vector_Sub32
- Vector_Negate16
- Vector_Negate32
- Vector_Mul16
- Vector_Mul32
- Vector_MulC16
- Vector_MulC32
- Vector_Min16
- Vector_Min32
- Vector_Max16
- Vector_Max32
- Vector_Dotp16
- Vector_Dotp32
- Vector_Correlate16
- Vector_Correlate32
- Vector_Convolve16
- Vector_Convolve32
- Vector_Add16
- Vector_Add32
- Vector_AddC16
- Vector_AddC32
- Vector_Abs16
- Vector_Abs32
- Vector_Sum_Squares16
- Vector_Sum_Squares32
Vector_Set16
Prototype |
sub procedure Vector_Set16(dim indata as ^integer, dim size as word, dim value as integer) |
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Description |
Sets |
Parameters |
|
Returns |
Nothing. |
Requires |
Nothing. |
Notes |
None. |
Vector_Set32
Prototype |
sub procedure Vector_Set32(dim indata as ^longint, dim size as word, dim value as longint) |
---|---|
Description |
Sets |
Parameters |
|
Returns |
Nothing. |
Requires |
Nothing. |
Notes |
None. |
Vector_Sub16
Prototype |
sub procedure Vector_Sub16(dim outdata as ^integer, dim indata1 as ^integer, dim indata2 as ^integer, dim N as word) |
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Description |
This function does subtraction of two vectors - subtracts each element of outdata[n] = indata1[n] - indata2[n], n Î [0, N-1] |
Parameters |
|
Returns |
Nothing. |
Requires |
Nothing. |
Notes |
None. |
Vector_Sub32
Prototype |
sub procedure Vector_Sub32(dim outdata as ^longint, dim indata1 as ^longint, dim indata2 as ^longint, dim N as word) |
---|---|
Description |
This function does subtraction of two vectors - subtracts each element of outdata[n] = indata1[n] - indata2[n], n Î [0, N-1] |
Parameters |
|
Returns |
Nothing. |
Requires |
Nothing. |
Notes |
None. |
Vector_Negate16
Prototype |
sub procedure Vector_Negate16(dim outdata as ^integer, dim indata as ^integer, dim N as word) |
---|---|
Description |
This function does negation of vector. outdata[n] = (-1)*indata[n] + 0, n Î [0, N) |
Parameters |
|
Returns |
Nothing. |
Requires |
Nothing. |
Notes |
None. |
Vector_Negate32
Prototype |
sub procedure Vector_Negate32(dim outdata as ^longint, dim indata as ^longint, dim N as word) |
---|---|
Description |
This function does negation of vector. outdata[n] = (-1)*indata[n] + 0, n Î [0, N) |
Parameters |
|
Returns |
Nothing. |
Requires |
Nothing. |
Notes |
None. |
Vector_Mul16
Prototype |
sub procedure Vector_Mul16(dim outdata as ^integer, dim indata1 as ^integer, dim indata2 as ^integer, dim N as word) |
---|---|
Description |
This function does multiplication of two vectors. Multiplies each Q15 element of indata1 by the corresponding element of indata2 and stores the results to outdata. outdata[n] = indata1[n] * indata2[n], n Î [0, N-1] |
Parameters |
|
Returns |
Nothing. |
Requires |
Nothing. |
Notes |
None. |
Vector_Mul32
Prototype |
sub procedure Vector_Mul32(dim outdata as ^longint, dim indata1 as ^longint, dim indata2 as ^longint, dim N as word) |
---|---|
Description |
This function does multiplication of two vectors. Multiplies each Q31 element of indata1 by the corresponding element of indata2 and stores the results to outdata. outdata[n] = indata1[n] * indata2[n], n Î [0, N-1] |
Parameters |
|
Returns |
Nothing. |
Requires |
Nothing. |
Notes |
None. |
Vector_MulC16
Prototype |
sub procedure Vector_MulC16(dim outdata as ^integer, dim indata as ^integer, dim c as integer, dim N as word) |
---|---|
Description |
Multiplies each Q15 element of indata by the Q15 constant c and stores the results to outdata. The number of samples to process is given by the parameter N. outdata[n] = indata1[n] * c, n Î [0, N-1] |
Parameters |
|
Returns |
Nothing. |
Requires |
Nothing. |
Notes |
None. |
Vector_MulC32
Prototype |
sub procedure Vector_MulC32(dim outdata as ^longint, dim indata as ^longint, dim c as longint, dim N as word) |
---|---|
Description |
Multiplies each Q31 element of indata by the Q31 constant c and stores the results to outdata. The number of samples to process is given by the parameter N. outdata[n] = indata1[n] * c[n], n Î [0, N-1] |
Parameters |
|
Returns |
Nothing. |
Requires |
Nothing. |
Notes |
None. |
Vector_Min16
Prototype |
sub function Vector_Min16(dim indata as ^integer, dim N as word, dim byref MinIndex as word) as integer |
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Description |
This function finds minimal value in vector. minVal = min (indata[n]), n Î [0, N-1] |
Parameters |
|
Returns |
Minimum value ( |
Requires |
Nothing. |
Notes |
None. |
Vector_Min32
Prototype |
sub function Vector_Min32(dim indata as ^longint, dim N as word, dim byref MinIndex as word) as longint |
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Description |
This function finds minimal value in vector. minVal = min (indata[n]), n Î [0, N-1] |
Parameters |
|
Returns |
Minimum value ( |
Requires |
Nothing. |
Notes |
None. |
Vector_Max16
Prototype |
sub function Vector_Max16(dim indata as ^integer, dim N as word, dim byref MaxIndex as word) as integer |
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Description |
This function find maximal value in vector. maxVal = max (indata[n]), n Î [0, N-1] |
Parameters |
|
Returns |
Maximum value ( |
Requires |
Nothing. |
Notes |
None. |
Vector_Max32
Prototype |
sub function Vector_Max32(dim indata as ^longint, dim N as word, dim byref MinIndex as word) as longint |
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Description |
This function find maximal value in vector. maxVal = max (indata[n]), n Î [0, N-1] |
Parameters |
|
Returns |
Maximum value ( |
Requires |
Nothing. |
Notes |
None. |
Vector_Dotp16
Prototype |
sub function Vector_Dotp16(dim indata1 as ^integer, dim indata2 as ^integer, dim N as word, dim scale as word) as integer |
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Description |
Computes the dot product of the Q15 vectors indata1 and indata2. The number of samples to process is given by the parameter N. The scale parameter specifies the amount of right shift applied to the final result. |
Parameters |
|
Returns |
Scaled result of the calculation in fractional Q15 format :
|
Requires |
Nothing. |
Notes |
None. |
Vector_Dotp32
Prototype |
sub function Vector_Dotp32(dim indata1 as ^longint, dim indata2 as ^longint, dim N as word, dim scale as word) as longint |
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Description |
Computes the dot product of the Q31 vectors indata1 and indata2. The number of samples to process is given by the parameter N. The scale parameter specifies the amount of right shift applied to the final result. |
Parameters |
|
Returns |
Scaled result of the calculation in fractional Q31 format :
|
Requires |
Nothing. |
Notes |
None. |
Vector_Correlate16
Prototype |
sub procedure Vector_Correlate16(dim outdata as ^integer, dim indata1 as ^integer, dim N1 as word, dim indata2 as ^integer, dim N2 as word) |
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Description |
Function calculates Vector correlation (using convolution).
|
Parameters |
|
Returns |
Nothing. |
Requires |
Nothing. |
Notes |
None. |
Vector_Correlate32
Prototype |
sub procedure Vector_Correlate32(dim outdata as ^longint, dim indata1 as ^longint, dim N1 as word, dim indata2 as ^longint, dim N2 as word) |
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Description |
Function calculates Vector correlation (using convolution).
|
Parameters |
|
Returns |
Nothing. |
Requires |
Nothing. |
Notes |
None. |
Vector_Convolve16
Prototype |
sub procedure Vector_Convolve16(dim outdata as ^integer, dim indata1 as ^integer, dim N1 as word, dim indata2 as ^integer, dim N2 as word) |
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Description |
Function calculates Vector using convolution.
|
Parameters |
|
Returns |
Nothing. |
Requires |
Nothing. |
Notes |
None. |
Vector_Convolve32
Prototype |
sub procedure Vector_Convolve32(dim outdata as ^longint, dim indata1 as ^longint, dim N1 as word, dim indata2 as ^longint, dim N2 as word) |
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Description |
Function calculates Vector using convolution.
|
Parameters |
|
Returns |
Nothing. |
Requires |
Nothing. |
Notes |
None. |
Vector_Add16
Prototype |
sub procedure Vector_Add16(dim outdata as ^integer, dim indata1 as ^integer, dim indata2 as ^integer, dim N as word) |
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Description |
Function calculates vector addition. outdata[n] = indata1[n] + indata2[n], n Î [0, N-1] |
Parameters |
|
Returns |
Nothing. |
Requires |
Nothing. |
Notes |
None. |
Vector_Add32
Prototype |
sub procedure Vector_Add32(dim outdata as ^longint, dim indata1 as ^longint, dim indata2 as ^longint, dim N as word) |
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Description |
Function calculates vector addition. outdata[n] = indata1[n] + indata2[n], n Î [0, N-1] |
Parameters |
|
Returns |
Nothing. |
Requires |
Nothing. |
Notes |
None. |
Vector_AddC16
Prototype |
sub procedure Vector_AddC16(dim outdata as ^integer, dim indata1 as ^integer, dim c as integer, dim N as word) |
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Description |
Function adds the Q15 constant c to all elements of indata. The number of samples to process is given by the parameter N. outdata[n] = indata[n] + C, n Î [0, N-1] |
Parameters |
|
Returns |
Nothing. |
Requires |
Nothing. |
Notes |
None. |
Vector_AddC32
Prototype |
sub procedure Vector_AddC16(dim outdata as ^longint, dim indata1 as ^longint, dim c as longint, dim N as word) |
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Description |
Function adds the Q31 constant c to all elements of indata. The number of samples to process is given by the parameter N. outdata[n] = indata[n] + C, n Î [0, N-1] |
Parameters |
|
Returns |
Nothing. |
Requires |
Nothing. |
Notes |
None. |
Vector_Abs16
Prototype |
sub procedure Vector_Abs16(dim outdata as ^integer, dim indata as ^integer, dim N as word) |
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Description |
Computes the absolute value of each element of indata and stores it to outdata. The number of samples to process is given by the parameter N. outdata[n] = abs(indata[n]), n Î [0, N-1] |
Parameters |
|
Returns |
Nothing. |
Requires |
Nothing. |
Notes |
None. |
Vector_Abs32
Prototype |
sub procedure Vector_Abs32(dim outdata as ^longint, dim indata as ^longint, dim N as word) |
---|---|
Description |
Computes the absolute value of each element of indata and stores it to outdata. The number of samples to process is given by the parameter N. outdata[n] = abs(indata[n]), n Î [0, N-1] |
Parameters |
|
Returns |
Nothing. |
Requires |
Nothing. |
Notes |
None. |
Vector_Sum_Squares16
Prototype |
sub function Vector_Sum_Squares16(dim indata as ^integer, dim N as word, dim scale as word) as integer |
---|---|
Description |
Computes the sum of squared values of all elements of indata. The number of samples to process is given by the parameter N. The scale parameter specifies the amount of right shift applied to the final result. |
Parameters |
|
Returns |
Scaled result of the calculation in fractional Q15 format. |
Requires |
Nothing. |
Notes |
None. |
Vector_Sum_Squares32
Prototype |
<sub function Vector_Sum_Squares32(dim indata as ^longint, dim N as word, dim scale as word) as longint |
---|---|
Description |
Computes the sum of squared values of all elements of indata. The number of samples to process is given by the parameter N. The scale parameter specifies the amount of right shift applied to the final result. |
Parameters |
|
Returns |
Scaled result of the calculation in fractional Q31 format. |
Requires |
Nothing. |
Notes |
None. |
Library Example
program Vectors dim Q15_1 as integer[4] Q15_2 as integer[4] Q31_1 as longint[4] Q31_2 as longint[4] Q15_Out as integer[7] Q31_Out as longint[7] i as integer l as longint scale, index, N as word sub procedure Init() Q15_1[0] = integer(0xC000) ' -0.5 Q15_1[1] = 0x2000 ' 0.25 Q15_1[2] = integer(0xF000) ' -0.125 Q15_1[3] = 0x0800 ' 0.0625 Q15_2[0] = integer(0x999A) ' ~(-0.8) Q15_2[1] = 0x3333 ' ~0.4 Q15_2[2] = integer(0xE666) ' ~(-0.2) Q15_2[3] = 0x0CCD ' ~0.1 Q31_1[0] = longint(0xC0000000) ' -0.5 Q31_1[1] = 0x20000000 ' 0.25 Q31_1[2] = longint(0xF0000000) ' -0.125 Q31_1[3] = 0x08000000 ' 0.0625 Q31_2[0] = longint(0x999A0000) ' ~(-0.8) Q31_2[1] = 0x33330000 ' ~0.4 Q31_2[2] = longint(0xE6660000) ' ~(-0.2) Q31_2[3] = 0x0CCD0000 ' ~0.1 end sub main: Init() N = 4 Vector_Abs16(@Q15_Out, @Q15_1, N) ' Q15_Out = {0x4000, 0x2000, 0x1000, 0x0800} Vector_Add16(@Q15_Out, @Q15_1, @Q15_2, N) ' Q15_Out = (0x599A, 0x5334, 0xD666, 0x14CD) ' Q15_Out[0] = 0x5334 -> overflow Vector_AddC32(@Q31_Out, @Q31_1, longint(0xC0000000), N) ' Q31_Out = (0x80000000, 0xE0000000, 0xB0000000, 0xC8000000) scale = 2 l = Vector_Dotp32(@Q31_1, @Q31_2, N, scale) ' l = 1/(2^scale) * sum_k(Q31_1[k]*Q31_2[k]) = 0x10FFF400 <- 0.1328125 Vector_Mul16(@Q15_Out, @Q15_1, @Q15_2, N) ' Q15_Out = (0x3333, 0x0CCC, 0x0333, 0x00CC) Vector_Sub16(@Q15_Out, @Q15_1, @Q15_2, N) ' Q15_Out = (0x2666, 0xECCD, 0x099A, 0xFB33) scale = 3 i = Vector_Sum_Squares16(@Q15_1, N, scale) ' i = 1/(2^scale)*sum_K(Q15_1[k]^2) = 0x0550 <- 0.0415039 Vector_Set16(@Q15_Out, N, 0x0A0A) ' Q15_Out = (0x0A0A, 0x0A0A, 0x0A0A, 0x0A0A) i = Vector_Min16(@Q15_1, N, @index) ' i = 0xC000 index = 0 l = Vector_Max32(@Q31_1, N, @index) ' l = 0x20000000 index = 1 Vector_Negate16(@Q15_Out, @Q15_1, N) ' Q15_Out = (0x4000, 0xE000, 0x1000, 0xF800 Vector_Correlate32(@Q31_Out, @Q31_1, 3, @Q31_2, 2) ' Q31_Out = (0x0CCCC000, 0xE0002000, Ox3FFFC000, 0xE6668000) Vector_Convolve16(@Q15_Out, @Q15_1, 4, @Q15_2, 3) ' Q15_Out = (0x333, 0xCCCD, 0x2666, 0xECCC, 0x0666, 0xFE66) asm nop end asm end.
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