Reducing Quantization Errors for Inner-Product Operations in Embedded Digital Signal Processing Systems [Tips & Tricks]

Inner-product operations are used extensively in embedded digital signal processing (DSP) systems. Their applications range from signal processing (filtering/convolution) to inference (classification). In embedded systems, resources (energy, area, etc.) are typically highly constrained, making tradeoffs with computational precision a fundamental concern. Indeed, with increasing requirements on algorithmic performance, many systems are trending toward higher computational precision to ensure accuracy of results.