What is the effect of digital compression on SQR, resolution, quantization interval, and quan¬tization noise

Digital compression can have several effects on Signal to Quantization Noise Ratio (SQR), resolution, quantization interval, and quantization noise.

1. Signal to Quantization Noise Ratio (SQR): Digital compression can reduce the SQR. This is because compression often involves reducing the bit depth of the signal, which increases the quantization noise. As a result, the ratio of the signal power to the quantization noise power decreases.

2. Resolution: Digital compression can also reduce the resolution of the signal. The resolution of a digital signal is determined by the bit depth, which is often reduced during compression to save space. This can result in a loss of detail and a decrease in the quality of the signal.

3. Quantization Interval: The quantization interval is the range of values that a signal can take on. When a signal is compressed, the quantization interval can become larger, which means that the signal can take on fewer possible values. This can also result in a loss of detail and a decrease in the quality of the signal.

4. Quantization Noise: Digital compression can increase quantization noise. This is because compression often involves reducing the bit depth of the signal, which increases the quantization noise. This noise is a form of error that is introduced when a signal is quantized, and it can degrade the quality of the signal.

In summary, while digital compression can save space and make it easier to transmit and store signals, it can also reduce the quality of those signals by reducing the SQR and resolution, increasing the quantization interval, and increasing quantization noise.