UNIVERSAL MULTI-SENSOR DATA COMPRESSION

The present disclosure regards a method for compression of a signal, of length, comprising data, the method comprising the steps of at least for a first level of decomposition, transforming the signal based on a first sparse matrix, of size × formed by an invertible matrix, representing a divisor-based signal decomposition for a first divisor to obtain a first vector of transformation coefficients, wherein =, and wherein the first vector comprises an initial component and detail components,, …,. The method further comprises the step of at least for a second level of decomposition, transforming the initial component based on a second sparse matrix, of size ×, where =, formed by an invertible matrix, representing a divisor-based signal decomposition for a second divisor, to obtain a second vector of transformation coefficients wherein =, and wherein the second vector comprises an initial component and detail components,, …,. After the transformation coefficients of the second vector of transformation coefficients,,, …, and detail components of the first vector,, …,, are quantized to obtain a quantized transformation vector and the signal is compressed based on the quantized transformation vector.