Search results
Results from the WOW.Com Content Network
The number of possible values that an integer bit depth can represent can be calculated by using 2 n, where n is the bit depth. [1] Thus, a 16-bit system has a resolution of 65,536 (2 16) possible values. Integer PCM audio data is typically stored as signed numbers in two's complement format. [2]
Color depth, also known as bit depth, is either the number of bits used to indicate the color of a single pixel, or the number of bits used for each color component of a single pixel. When referring to a pixel, the concept can be defined as bits per pixel (bpp).
Bit depth may refer to: Color depth, also known as bit depth, the number of bits used to indicate the color of a single pixel; Audio bit depth, the number of bits of ...
A PCM stream has two basic properties that determine the stream's fidelity to the original analog signal: the sampling rate, which is the number of times per second that samples are taken; and the bit depth, which determines the number of possible digital values that can be used to represent each sample.
High-resolution audio (high-definition audio or HD audio) is a term for audio files with greater than 44.1 kHz sample rate or higher than 16-bit audio bit depth. It commonly refers to 96 or 192 kHz sample rates. However, 44.1 kHz/24-bit, 48 kHz/24-bit and 88.2 kHz/24-bit recordings also exist that are labeled HD audio.
Though any number of quantization levels is possible, common word lengths are 8-bit (256 levels), 16-bit (65,536 levels) and 24-bit (16.8 million levels). Quantizing a sequence of numbers produces a sequence of quantization errors which is sometimes modeled as an additive random signal called quantization noise because of its stochastic behavior.
Depending on the color depth, a pixel in the picture will occupy at least n/8 bytes, where n is the bit depth. For an uncompressed, packed-within-rows bitmap, such as is stored in Microsoft DIB or BMP file format, or in uncompressed TIFF format, a lower bound on storage size for a n-bit-per-pixel (2 n colors) bitmap, in bytes, can be calculated as:
Optimization of bit width of digital data path (according to the dynamic ranges of signal) can reduce the area, cost, and power consumption of digital circuits and systems while improving their performance. Optimal bit width for a digital data path is the smallest bit width that can satisfy the required signal-to-noise ratio and also avoid ...