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Home › Math & Conversions › Core Math & Algebra › Convolution Convolution Calculator Compute discrete convolution of two sequences, inspect each sum in \(y[k] = \sum_n x[n]\,h[k-n]\), and see how convolution behaves in signals, probability and deep learning. Core Math & Algebra Interactive discrete convolution of finite sequences Enter two finite sequences (signals, kernels, filters, probability mass functions). The tool will: Parse sequences like 1, 2, 3 or 0.5 -1 0.5 . Compute full , same , or valid convolution. Show each output sample as a sum of products. Provide quick statistics (length, energy) and notes on interpretation. Discrete convolution Notes & examples Input sequence \(x[n]\) Separate values with commas or spaces. Up to ~50 samples for each sequence. Kernel

Subcategories in Home › Math & Conversions › Core Math & Algebra › Convolution Convolution Calculator Compute discrete convolution of two sequences, inspect each sum in \(y[k] = \sum_n x[n]\,h[k-n]\), and see how convolution behaves in signals, probability and deep learning. Core Math & Algebra Interactive discrete convolution of finite sequences Enter two finite sequences (signals, kernels, filters, probability mass functions). The tool will: Parse sequences like 1, 2, 3 or 0.5 -1 0.5 . Compute full , same , or valid convolution. Show each output sample as a sum of products. Provide quick statistics (length, energy) and notes on interpretation. Discrete convolution Notes & examples Input sequence \(x[n]\) Separate values with commas or spaces. Up to ~50 samples for each sequence. Kernel.

impulse response \(h[n]\) This is the filter, mask or impulse response. Convolution computes the output of a system with impulse response \(h\) fed by input \(x\). Convolution mode Full (length N + M − 1) Same (length max(N, M)) Valid (full overlap only) Full keeps all samples, same matches main sequence length, valid avoids border effects. Decimal places 0 (integers) 2 decimals 4 decimals 6 decimals Interpretation Signal
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