The next section demonstrates the differences between the filter types and also provides an example of calculating the settling time for each of the cases. The thermal noise of the circuit sets the in-band noise floor before getting to the point of the frequency axis where the modulator noise begins to ramp. It exhibits a known and finite linear phase response to a step change at the input. The notches in the sinc style filter have traditionally been used to reject interferers at known frequencies by strategically setting the data rate to coincide with the interferer frequency.

If you're modeling a low-poly game-ready mesh, then triangles are fine, but you want every edge to be there for a reason. This is done by increasing the decimation rate. The filter is made up of a series of integrators and a switch that operates as the decimator, followed by a series of differentiators. This is akin to a neural network with an initially-high learning rate being decreased throughout training, as is common for the optimization of neural classifiers. There is strong suppression of the quantization noise at low frequencies around dc.

The loop filter can be implemented as a simple integrator or a cascade of integrators. In this case, both filters will provide conversion data at an output rate of kHz. It is straight forward for direct sinc filters. Subdivision tends to highlight every deficiency in your technique.

Manifold Surfaces Avoid T-vertices, doubled faces, gaps, flipped faces, internal unseen faces, floating vertices, etc. Polygon Density Add more polygons where there's curvature, less where it's straight, but balance this by the needs of the other priniciples. It is also a good choice for a capstone course, senior seminar, or independent study. This text is based on the author's course given at Vassar College and is intended for advanced undergraduate students. The shape of this weighing is the time domain representation of the low-pass digital filter.

See also Help with poles from the Polycount forum. If you're making a subdivision surface model, then proper edge loops are crucial. Silhouette Polygons define the shape of the model, don't waste polys where they don't add to the silhouette, depending on the requirements of the other priniciples.

Most people learn by doing. Exercises of varying degrees of difficulty form an essential part of the text. Many problems and exercises some solutions integrated into the text. The rate of change of the output is following that of the input.

Provided conditions exist for stability of the loop, the output is a coarse representation of the input. Some knowledge of differential equations and multivariate calculus required. The noise transfer function is a high- pass filter function, providing the noise shaping. The quantization noise is the difference between the input and the output of the quantizer.