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A goal or objective is an idea of the future or desired result that a person or a group of people envision, plan and commit to achieve. People endeavour to reach goals within a finite time by setting deadlines. A goal is roughly similar to a purpose or aim, the anticipated result which guides reaction, or an end, which is an object, either a physical object or an abstract object, that has intrinsic value. Goal setting Goal-setting theory was formulated based on empirical research and has been called one of the most important theories in organizational psychology. Edwin A. Locke and Gary P. Latham, the fathers of goal-setting theory, provided a comprehensive review of the core findings of the theory in 2002. In summary, Locke and Latham found that specific, difficult goals lead to higher performance than either easy goals or instructions to "do your best", as long as feedback about progress is provided, the person is committed to the goal, and the person has the ability and knowledge to perform the task. According to Locke and Latham, goals affect performance in the following ways: goals direct attention and effort toward goal-relevant activities, difficult goals lead to greater effort, goals increase persistence, with difficult goals prolonging effort, and goals indirectly lead to arousal, and to discovery and use of task-relevant knowledge and strategies A positive relationship between goals and performance depends on several factors. First, the goal must be considered important and the individual must be committed. Participative goal setting can help increase performance, but participation itself does not directly improve performance. Self-efficacy also enhances goal commitment. For goals to be effective, people need feedback that details their progress in relation to their goal. This feedback needs to be positive, immediate, graphic, and specific. Providing feedback leads to set references points and "comparisons to the standard inform their behavioral responses" (Stajkovic A.D.
[2]Paolo Prandoni, [3]LCAV, EPFL
The Parks-McClellan (PM) algorithm is a clever application of advanced
polynomial fitting techniques to the problem of FIR filter design. In
this notebook we will explore the key ideas behind the method by
considering the design of a simple Type-I lowpass filter.
NOTE: This notebook uses interactive widgets. If the interactive
controls do not work or show up, please fo [2]Paolo Prandoni, [3]LCAV, EPFL
In this notebook we will explore various ways to implement a system
that changes the voice of a speaker. Typical applications for these
techniques, strictly sorted by plausibility, include international spy
missions and prank telephone calls, and devices such as the one
displayed here can be easily bought on the web... or in a novelty shop.
No description has been provided for t