Classes |
struct | CLAM::Pow< o > |
struct | CLAM::Pow< 1 > |
struct | CLAM::Pow< 0 > |
class | CLAM::Power< s, abs, T > |
| Binary Operator for use with std::accumulate, for computing Sum(x(i)^n) More...
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class | CLAM::NoPowerTmpl< abs, T > |
| Binary Operator for use with std::accumulate, for computing Sum(x(i)^1) More...
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class | CLAM::SquareTmpl< abs, T > |
| Binary Operator for use with std::accumulate, for computing Sum(x(i)^2) More...
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class | CLAM::CubeTmpl< abs, T > |
| Binary Operator for use with std::accumulate, for computing Sum(x(i)^3) More...
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class | CLAM::WeightedPower< s, abs, T > |
| Binary Operator for use with std::accumulate, for computing Sum(i*x(i)^n) More...
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class | CLAM::PoweredProduct< s, T > |
| Binary Operator for use with std::inner_product. More...
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class | CLAM::WeightedNoPowerTmpl< abs, T > |
| Binary Operator for use with std::accumulate, for computing Sum(i*x(i)^1) More...
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class | CLAM::WeightedSquareTmpl< abs, T > |
| Binary Operator for use with std::accumulate, for computing Sum(i*x(i)^2) More...
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class | CLAM::WeightedCubeTmpl< abs, T > |
| Binary Operator for use with std::accumulate, for computing Sum(i*x(i)^3) More...
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class | CLAM::BiasedPower< s, abs, T, U > |
| Binary Operator for use with std::accumulate, for computing Sum((x(i)-k)^n) More...
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class | CLAM::ProductTmpl< T > |
| Binary Operator for use with std::accumulate, for computing Product(x(i)) More...
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class | CLAM::BaseMemOp |
| Class used as base for all operators with memory, useful to define array of operators. More...
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class | CLAM::PoweredSum< s, abs, T > |
| Class Function that computes Sum(x(i)^n) using std::accumulate and Power<T,s> BinaryOp It also has associated memory so operation is not performed more than necessary. More...
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class | CLAM::SumTmpl< abs, T > |
| Class Function that computes Sum(x(i)) using std::accumulate and NoPower<T> BinaryOp. More...
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class | CLAM::SquaredSumTmpl< abs, T > |
| Class Function that computes Sum(x(i)^2) using std::accumulate and Square<T> BinaryOp. More...
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class | CLAM::CubedSumTmpl< abs, T > |
| Class Function that computes Sum(x(i)^3) using std::accumulate and Cube<T> BinaryOp. More...
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class | CLAM::LogPlusTmpl< T > |
| Binary Operator for use with std::accumulate, for computing Product(x(i)) More...
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class | CLAM::LogSumTmpl< T > |
| Class Function for computing logarithmic sum of all data in vector using. More...
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class | CLAM::InnerProductTmpl< T > |
| Class Function for computing product of all data in vector. More...
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class | CLAM::WeightedPoweredSum< s, abs, T > |
| Class Function that computes Sum(i*x(i)^n) using std::accumulate and WeightedPower<T,s> BinaryOp It also has associated memory so operation is not performed more than necessary. More...
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class | CLAM::CrossWeightedPoweredSum< s, abs, T > |
| Class Function that computes Sum(x(i)^n * y(i)) using std::accumulate and WeightedPower<T,s> BinaryOp It also has associated memory so operation is not performed more than necessary. More...
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class | CLAM::WeightedSumTmpl< abs, T > |
| Class Function that computes Sum(i*x(i)) using std::accumulate and WeightedNoPower<T> BinaryOp. More...
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class | CLAM::WeightedSquaredSumTmpl< abs, T > |
| Class Function that computes Sum(i*x(i)^2)using std::accumulate and WeightedSquare<T> BinaryOp. More...
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class | CLAM::WeightedCubedSumTmpl< abs, T > |
| Class Function that computes Sum(i*x(i)^3) using std::accumulate and WeightedCube<T> BinaryOp. More...
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class | CLAM::Moment< o, abs, T, U > |
| Class Function that computes 'oth' order Moment using PoweredSum Class Function. More...
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class | CLAM::CenterOfGravity< o, abs, T, U > |
| Class Function that computes 'oth' order Center of Gravity using WeightedPoweredSum Class Function. More...
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class | CLAM::CrossCenterOfGravity< o, abs, T, U > |
| Special CenterOfGravity using 2ond sequence as indexing sequence. More...
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class | CLAM::CentroidTmpl< abs, T, U > |
| Centroid is 1st order center of gravity. More...
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class | CLAM::MeanTmpl< abs, T, U > |
| Mean is 1st order Moment. More...
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class | CLAM::EnergyTmpl< T > |
| Energy is just the squared sum. More...
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class | CLAM::RMSTmpl< T, U > |
| RMS is the square root of the Energy. More...
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class | CLAM::GeometricMeanTmpl< T, U > |
| Class Function that computes Geometric Mean using InnerProduct class function. More...
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class | CLAM::BiasedPoweredSum< s, abs, T, U > |
| Class Function that computes Sum((x(i)-mean)^n) using std::accumulate and BiasedPower<T,s> BinaryOp It also has associated memory so operation is not performed more than necessary. More...
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class | CLAM::CentralMoment< o, abs, T, U > |
| Class Function that computes 'oth' order CentralMoment using BiasedPoweredSum Class Function. More...
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class | CLAM::StandardDeviationTmpl< abs, T, U > |
| Class Function to compute StandardDeviation. More...
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class | CLAM::SkewTmpl< abs, T, U > |
| Class Function that computes Skewness using Standard Deviation and 3rd order central moment. More...
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class | CLAM::KurtosisTmpl< abs, T, U > |
| Class Function that computes Kurtosis Excess using Variance and 4th order central moment. More...
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class | CLAM::ComplexMin< abs, T > |
| Binary Operator for use with std::accumulate, for computing Min(x(i)) More...
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class | CLAM::ComplexMinElement< abs, T > |
| Class Function that computes Min(x(i)) using std::accumulate and ComplexMin<T> BinaryOp It also has associated memory so operation is not performed more than necessary. More...
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class | CLAM::ComplexMax< abs, T > |
| Binary Operator for use with std::accumulate, for computing Max(x(i)) More...
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class | CLAM::ComplexMaxElement< abs, T > |
| Class Function that computes Max(x(i)) using std::accumulate and ComplexMax<T> BinaryOp It also has associated memory so operation is not performed more than necessary. More...
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- Todo:
- There a lot of hacks because of Visual C++ compiler, could be optimized and cleaned-up making use of partial specialization.
- Todo:
- It is still not clear whether the "abs" aspect should be promoted later on to the argument list.
- Note:
- : the "abs" aspect present in many of the operations means whether the statistic should be performed directly on the values (by default or when abs=false) or whether the statistic should be computed on the absolute value
Definition in file BasicOps.hxx.