Montgomery form and ladder
People are typically introduced to elliptic curves in Weierstrass form, namely the points $(x,y)$ that satisfy $y^2 = x^3 + ax + b$. Specifying $a$ and $b$ pick out a particular curve.
There is an alternative representation of elliptic curves, called the Montgomery form:
$Bv^2 = u^3 + Au^2 + u$
Peter Montgomery introduced this form in his 1987 paper. Here, the points are $(u,v)$ pairs and specifying $A$ and $B$ pick out a curve. You can convert from one form to the other. The $u$ here is the u-coordinate you referred to.
Why is this useful?
When doing scalar multiplication on elliptic curves over a field $\mathbb{F}_p$, you have to do a lot of modular divisons / inverses. However, in Montgomery form, $u$ and $v$ are projective coordinates. What this gets you is letting you postpone expensive division operations for as long as possible, giving nice speedups. So think of $u$ as a ratio of two coordinates, similar to (not equal to!) $x/y$.
Very roughly, the Montgomery ladder is doing a "double-and-add" operation on a point in projective space. The input to the ladder is a scale factor $k$ and the u-coordinate, and the output is only the u-coordinate of the scaled point. That's why the Montgomery ladder is called a single-coordinate ladder. If necessary and if you have both $u$ and $v$, you can compute both coordinates of the scaled point, but if you only need the scaled $u$, you get this quickly without having to spend time computing the "baggage" of the other coordinate, like with point compression and decompression.
Point Compression and Decompression
See Section 2.3 for a description of the calculation to do point compression and decompression. The basic idea is it's better to carry one number around than two if you can, so take $(u,v)$ in projective space and combine the two coordinates into a "compressed" value $\tau$ which can later be "decompressed" into $(u,v)$ or $(x,y)$ form. These compression and decompression operations involve taking modular square roots and modular inversion which are expensive. The Montgomery ladder lets you avoid this computation.