Math libraries for DSP processors
We develop digital signal processing math libraries for high performance modern DSP processors well recognized as NatureDSP Library. Our libraries come as a part of processor Integrated Development Environment (IDE) in binary or source form and provide the great means to start easily with new processor and understand programming model and optimization tricks. All functions are designed to be practically useful in the most important digital signal processing applications. We have developed signal processing libraries for the following platforms and Data Plane Processors.
We have developed DSP libraries for the most DSP processors of Cadence Tensilica  Tensilica ConnX D2, HiFi2, HiFi3, HiFi4, VectraLX, ConnX BBE16 (Base Band Engine 16 MAC), BBE32, BBE32 EP, BBE32 AP, BBE64, BBE64 EP, BBE64 AP, etc. More details about processors are available here:
http://ip.cadence.com/ipportfolio/tensilicaip/audio
http://ip.cadence.com/ipportfolio/tensilicaip/commsdsp
IntegrIT professionally develop algorithms based on:
 8bit, 16bit, 32bit fixed point arithmetic
 single precision floating point arithmetic
 double precision floating point arithmetic
 half precision floating point arithmetic
 cache optimization
 code size optimization
 memory optimization
Let us know if you need libraries for your DSP! Our algorithms can be ported on any processor. Our algorithm implementations are the best in the world for accuracy and performance and overcome libraries from Texas Instruments and Analog Devices. Our DSP libraries come as part Xtensa Xplorer toolchain. All functions in the libraries are parameterized and provide specific cases for ultra fast performance. For example, FFT functions for one of the BBE processor support the following block lengths:

2^{n}, n=4..15

12*2^{m}*3^{n}*5^{p }in range 12…1200

1536
We have been developing FFT algorithms more that 10 years and have all possible implementations. All functions support block and streaming data formats. Typical size of our NatureDSP Libraries is 3000...4000 routines.
Send us request on info@integrit.com
Example functions for ConnX BBE32 and ConnX BBE64
bkfir  Block real FIR filter. Passes real input data through a directform FIR filter with real coefficients
cxfir  Block complex FIR filter. Passes complex input data through a directform FIR filter with complex coefficients
rcfir  Block complex FIR filter. Passes complex input data through a directform FIR filter with real coefficients
srfir  Block real FIR filter with symmetric response. Passes real input data through a directform FIR filter with real coefficients
srcfir  Block complex FIR filter with symmetric response. Passes complex input data through a directform FIR filter with real coefficients
firdec  Decimating complex FIR filter w/ real coefficients. Passes complex input signal through a directform FIR filter with real coefficients and decimates the output signal
firinterp  Interpolating complex FIR filter w/ real coefficients. Upsamples complex input signal and passes it through a directform FIR filter with real coefficients
convol  Convolution between complex input signal and complex reference signal
corr  Correlation between complex input signal and complex reference signal
acorr  Autocorrelation for a complex data vector (positive side only)
lms  Blockwise delayed LMS algorithm for complex data and complex filter coefficients
despread  Despreading
bqriir, bqriirs  BiQuad Real Block IIR
bqciir, bqciirs  BiQuad Real Complex IIR
latr, latrs  Lattice Block Real IIR
latc, latcs  Lattice Block Complex IIR
rvdot  Real Vector Product
cvdot  Complex Vector Product
rvadd  Real Vector Sum
cvadd  Complex Vector Sum
vpower  Sum of Squares of a Vector
vmag  Square Root of Sum of Squares
vnorm  Vector Normalization
vrecip16, srecip16  Reciprocal on Q15 Numbers
vfastrecip16  Pseudo Floating Point Reciprocal
vdivide  Division of Q15 Numbers
vrsqrt, srsqrt  Inverse Square Root
vfastrsqrt  Pseudo Floating Point Inverse Square Root
vlog2, vlogn, vlog10, slog2, slogn, slog10  Logarithm
vsine, vcos, ssine, scos  Sine/Cosine
vtan, stan  Tangent
vatan2_16, satan2_16  Full Arctangent
vatan16, satan16  Arctangent
vbexp, vbexp_fast, sbexp  Common Exponent
rvmean, cvmean  Mean of Vector Elements
vmin, vmax  Dual Peak Search
vmax8  Search for 8 Top Values
vthreshold  Find Values above Threshold
rmelements, cmelements  Move the Elements at Given Indices
rrelements crelements  Remove the Elements at Given Indices
pvcartesian  Polar to Cartesian Conversion
cvmag  Complex Vector Magnitude
cbexp  Complex Exponent of all Values in a Vector
vslope  Correction of Vector Slope
aunwrap  Angle Unwrapping
fix2f  Fixed to Floating Point Conversion
f2fix  Floating to Fixed Point Conversion
matmul, matvmul  Real Matrix/vector Multiply
cmatmul, cmatvmul  Complex Matrix/vector Multiply
mattran  Real Matrix Transpose
cmattran  Complex Matrix Transpose
cmatherm  Matrix Hermitian Product
rsb,csb  Streaming to block order conversion
rbs,cbs  Block to streaming order conversion
rinterleave, cinterleave, rdeinterleave, cdeinterleave  Interleaving, Deinterleaving
qr_build_rMxMs, cqr_build_rMxMs  QR decomposition
qr_calc_qbMxPs, cqr_calc_qbMxPs  Rotation via Housholder vectors
qrbkwMxPs, cqrbkwMxPs  QR back substitution
cholmxns, scholmxnn, bcholmxnn  Cholesky decomposition
cholfwdmxnxps, scholfwdmxnxpn, bholfwdmxnxpn  Cholesky forward substitution
cholbkwnxps, scholbkwnxpn, bcholbkwnxpn  Cholesky forward substitution
cmatinv  Direct matrix inversion
crc  Compute 8, 16, 24 and 32 bit CRC
qammap  Map bits to QPSK, QAM16 or QAM64 constellation
slice_h  Slicer Hard: QPSK, QAM16, QAM64
gcode  Universal Gray coding/QAM mapping
softdemap  Soft Demapper for QPSK and QAM Constellations
bsegmnt  Bitstream unpacking – convert stream of 1, 2, 4, 6, 8 bits to stream of 16bit words
bpack  Bitstream packing – convert stream of 16bit words to stream of 1, 2, 4, 6, 8 bits
convenc  Convolution encoder
zcseq_gen  ZadoffChu Sequence
lteprs  LTE Pseudorandom Sequence Generation and Scrambling
sfd  Alamouti SFD
cfft  FFT on Complex Data
rfft  FFT on Real Data
cifft  Inverse FFT on Complex Data
rifft  Inverse FFT Forming Real Data
pfit  Polynomial fitting
vinterp  Linear/neighbour interpolation
interp_2tap interp_4tap  Tapbased interpolation