📄 statistics.h
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// file: $isip/class/algo/Statistics/Statistics.h// version: $Id: Statistics.h,v 1.19 2002/07/09 02:19:47 picone Exp $//// make sure definitions are only made once//#ifndef ISIP_STATISTICS#define ISIP_STATISTICS// isip include files//#ifndef ISIP_ALGORITHM_BASE#include <AlgorithmBase.h>#endif// Statistics : a class that calculates various statistical parameters// of the input data such as the maximum, mean, and variance. two types// of implementations have been supported - FRAME_INTERNAL and// ACCUMULATE. FRAME_INTERNAL computes the requested feature// over one frame of data. this is useful for computing the average// value of a signal on a frame-by-frame basis.//// ACCUMULATE computes the requested feature across all frames, and// can be used to output a value for the entire file. this is useful// when computing the mean value of a signal for the entire file.//class Statistics : public AlgorithmBase { //--------------------------------------------------------------------------- // // public constants // //---------------------------------------------------------------------------public: // define the class name // static const String CLASS_NAME; //---------------------------------------- // // other important constants // //---------------------------------------- // define algorithm choices // enum ALGORITHM { MINIMUM = 0, MINIMUM_MAG, MAXIMUM, MAXIMUM_MAG, MEAN, MEDIAN, VARIANCE, STDEV, SKEW, KURTOSIS, DEF_ALGORITHM = MINIMUM }; // define implementation choices // enum IMPLEMENTATION { LINEAR = 0, DEF_IMPLEMENTATION = LINEAR }; // define static NameMap objects // static const NameMap ALGO_MAP; static const NameMap IMPL_MAP; //---------------------------------------- // // i/o related constants // //---------------------------------------- static const String DEF_PARAM; static const String PARAM_ALGORITHM; static const String PARAM_IMPLEMENTATION; static const String PARAM_CMODE; static const String PARAM_DMODE; //---------------------------------------- // // default values and arguments // //---------------------------------------- // define the default value(s) of the class data // static const long DEF_DELAY = 0; static const long DEF_NUM_FRAMES = 0; // define default argument(s) // static const AlgorithmData::COEF_TYPE DEF_COEF_TYPE = AlgorithmData::DEF_CTYPE; //---------------------------------------- // // error codes // //---------------------------------------- static const long ERR = 71800; //--------------------------------------------------------------------------- // // protected data // //---------------------------------------------------------------------------protected: // algorithm name // ALGORITHM algorithm_d; // implementation type // IMPLEMENTATION implementation_d; // static memory manager // static MemoryManager mgr_d; // define a variety of accumulators for input vectors: // note that the median operation is rather expensive since // it requires keeping track of all prior data members. // Vector<AlgorithmData> accum_sum_d; Vector<AlgorithmData> accum_sumsqr_d; Vector<AlgorithmData> accum_result_d; Vector<AlgorithmData> accum_frame_data_d; Vector<Vector<AlgorithmData> > accum_frame_buff_d; // define some useful counters // long accum_samples_d; long accum_frames_d; // only return a value once it has seen all data // boolean is_calculated_d; //--------------------------------------------------------------------------- // // required public methods // //---------------------------------------------------------------------------public: // method: name // static const String& name() { return CLASS_NAME; } // other static methods // static boolean diagnose(Integral::DEBUG debug_level); // debug methods: // setDebug is inherited from the AlgorithmBase class // boolean debug(const unichar* msg) const; // method: destructor // ~Statistics() {} // method: default constructor // Statistics(ALGORITHM algorithm = DEF_ALGORITHM, IMPLEMENTATION implementation = DEF_IMPLEMENTATION); // method: copy constructor // Statistics(const Statistics& arg) { is_calculated_d = false; assign(arg); } // assign methods // boolean assign(const Statistics& arg); // method: operator= // Statistics& operator= (const Statistics& arg) { assign(arg); return *this; } // i/o methods // long sofSize() const; boolean read(Sof& sof, long tag, const String& name = CLASS_NAME); boolean write(Sof& sof, long tag, const String& name = CLASS_NAME) const; boolean readData(Sof& sof, const String& pname = DEF_PARAM, long size = SofParser::FULL_OBJECT, boolean param = true, boolean nested = false); boolean writeData(Sof& sof, const String& pname = DEF_PARAM) const; // equality methods // boolean eq(const Statistics& arg) const; // method: new // static void* operator new(size_t size) { return mgr_d.get(); } // method: new[] // static void* operator new[](size_t size) { return mgr_d.getBlock(size); } // method: delete // static void operator delete(void* ptr) { mgr_d.release(ptr); } // method: delete[] // static void operator delete[](void* ptr) { mgr_d.releaseBlock(ptr); } // method: setGrowSize // static boolean setGrowSize(long grow_size) { return mgr_d.setGrow(grow_size); } // method: clear // boolean clear(Integral::CMODE ctype = Integral::DEF_CMODE); //--------------------------------------------------------------------------- // // class-specific public methods // set methods // //--------------------------------------------------------------------------- // method: setAlgorithm // boolean setAlgorithm(ALGORITHM algorithm) { algorithm_d = algorithm; is_calculated_d = false; is_valid_d = false; return true; } // method: setImplementation // boolean setImplementation(IMPLEMENTATION implementation) { implementation_d = implementation; is_calculated_d = false; is_valid_d = false; return true; } // method: set // boolean set(ALGORITHM algorithm = DEF_ALGORITHM, IMPLEMENTATION implementation = DEF_IMPLEMENTATION) { algorithm_d = algorithm; implementation_d = implementation; is_valid_d = false; return true; } // other set methods // boolean setAccumulateVar(long num_channel, long dimension); //--------------------------------------------------------------------------- // // class-specific public methods // get methods // //--------------------------------------------------------------------------- // method: getAlgorithm // ALGORITHM getAlgorithm() const { return algorithm_d; } // method: getImplementation // IMPLEMENTATION getImplementation() const { return implementation_d; } // boolean get(ALGORITHM& algorithm, IMPLEMENTATION& implementation) const { algorithm = algorithm_d; implementation = implementation_d; return true; } //--------------------------------------------------------------------------- // // class-specific public methods: // computational methods // //--------------------------------------------------------------------------- // compute methods // boolean compute(VectorFloat& output, const VectorFloat& input, AlgorithmData::COEF_TYPE input_coef_type = DEF_COEF_TYPE, long index = DEF_CHANNEL_INDEX); //--------------------------------------------------------------------------- // // class-specific public methods: // public methods required by the AlgorithmBase interface contract // //--------------------------------------------------------------------------- // assign method // boolean assign(const AlgorithmBase& arg); // equality method // boolean eq(const AlgorithmBase& arg) const; // method: className // const String& className() const { return CLASS_NAME; } // method: init // boolean init() { is_calculated_d = false; return true; } // apply methods // boolean apply(Vector<AlgorithmData>& output, const Vector< CircularBuffer<AlgorithmData> >& input); // method to set the parser // boolean setParser(SofParser* parser); //--------------------------------------------------------------------------- // // private methods // //---------------------------------------------------------------------------private: // common i/o methods // boolean readDataCommon(Sof& sof, const String& pname, long size = SofParser::FULL_OBJECT, boolean param = true, boolean nested = false); boolean writeDataCommon(Sof& sof, const String& pname) const; // mode and computation mode-specific computation methods // boolean computeFrameInt(VectorFloat& output, const VectorFloat& input, AlgorithmData::COEF_TYPE input_coef_type = DEF_COEF_TYPE, long index = DEF_CHANNEL_INDEX); boolean computeFrameAccumulate(VectorFloat& output, const VectorFloat& input, AlgorithmData::COEF_TYPE input_coef_type = DEF_COEF_TYPE, long index = DEF_CHANNEL_INDEX); boolean computeSampleAccumulate(VectorFloat& output, const VectorFloat& input, AlgorithmData::COEF_TYPE input_coef_type = DEF_COEF_TYPE, long index = DEF_CHANNEL_INDEX); // algorithm specific computation methods // boolean computeMin(VectorFloat& output, const VectorFloat& input); boolean computeMax(VectorFloat& output, const VectorFloat& input); boolean computeMinMag(VectorFloat& output, const VectorFloat& input); boolean computeMaxMag(VectorFloat& output, const VectorFloat& input); boolean computeMean(VectorFloat& output, const VectorFloat& input); boolean computeMedian(VectorFloat& output, const VectorFloat& input); boolean computeVar(VectorFloat& output, const VectorFloat& input); boolean computeStdDev(VectorFloat& output, const VectorFloat& input);};// end of include file//#endif
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