Searched refs:FIR (Results 1 – 16 of 16) sorted by relevance
/cmsis-dsp-latest/Testing/PatternGeneration/ |
D | GenAll.py | 10 import FIR 27 FIR.generatePatterns()
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/cmsis-dsp-latest/Testing/ |
D | addAllBenchToDatabase.bat | 5 echo "FIR" 6 python addToDB.py FIR
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D | addAllBenchToRegressionDatabase.bat | 5 echo "FIR" 6 python addToRegDB.py FIR
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D | bench_f16.txt | 130 group FIR { 131 class = FIR 132 folder = FIR 134 suite FIR F16 { 159 FIR Filter:test_fir_f16
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D | bench.txt | 451 group FIR { 452 class = FIR 453 folder = FIR 455 suite FIR F32 { 480 FIR Filter:test_fir_f32 486 suite FIR Q31 { 511 FIR Filter:test_fir_q31 517 suite FIR Q15 { 542 FIR Filter:test_fir_q15 548 suite FIR Q7 { [all …]
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D | desc_f16.txt | 723 group FIR { 724 class = FIR 725 folder = FIR 727 suite FIR F16 {
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D | desc.txt | 3147 group FIR { 3148 class = FIR 3149 folder = FIR 3151 suite FIR F64 { 3169 suite FIR F32 { 3187 suite FIR Q31 { 3205 suite FIR Q15 { 3223 suite FIR Q7 {
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/cmsis-dsp-latest/PythonWrapper/examples/kws_example/kws/ |
D | AppNodes.h | 138 template<typename IN, int inputSize,typename OUT,int outputSize> class FIR; variable 143 class FIR<q15_t,inputSize,q15_t,inputSize>: public GenericNode<q15_t,inputSize,q15_t,inputSize> 146 …FIR(FIFOBase<q15_t> &src,FIFOBase<q15_t> &dst):GenericNode<q15_t,inputSize,q15_t,inputSize>(src,ds… in FIR() function
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D | scheduler.cpp | 104 FIR<q15_t,98,q15_t,98> fir(fifo3,fifo4); in scheduler()
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D | test.dot | 35 <TD ALIGN="CENTER" PORT="i">fir<BR/>(FIR)</TD>
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/cmsis-dsp-latest/dsppp/tests/ |
D | filter_test.cpp | 476 struct FIR { struct 478 FIR(const PVector<T,TAPS> &coefs):coef_(coefs),state_(T{}) in FIR() function 570 FIR<T,BLOCK,TAPS> fir(coefs); in test() argument
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/cmsis-dsp-latest/PythonWrapper/examples/kws_example/ |
D | appnodes.py | 92 class FIR(GenericNode): class
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D | test.dot | 35 <TD ALIGN="CENTER" PORT="i">fir<BR/>(FIR)</TD>
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D | sched.py | 64 fir = FIR(98,98,fifo3,fifo4)
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D | kws.ipynb | 938 "For the FIR, CMSIS-DSP is using a FIR instance structure and thus we need to define it" 1645 "* A FIR node which is filtering all the features for one second of signal\n", 1650 … window by 0.5 seconds. It can be implemented with a sliding window on the features before the FIR" 1692 "class FIR(GenericNode):\n", 1702 " return \"FIR\"\n", 1787 " fir=FIR(\"fir\",FEATURE_LENGTH,FEATURE_LENGTH)\n",
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/cmsis-dsp-latest/PythonWrapper/docs/source/ |
D | api.rst | 159 Then, the utilisation of the API si very similar to what was done for the FIR example:
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